Pandas Profiling Report

Dataset statistics

Number of variables	73
Number of observations	17319
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	80.7 B

Variable types

Numeric	11
Categorical	62

Alerts

`PPE_40H` is highly correlated with `PPE_45H`	High correlation
`PPE_40C` is highly correlated with `PPE_45C`	High correlation
`PPE_45E` is highly correlated with `PPE_40E`	High correlation
`PPE_05` is highly correlated with `PPE_25`	High correlation
`PPE_40E` is highly correlated with `PPE_45E`	High correlation
`PPE_35A` is highly correlated with `PPE_30A`	High correlation
`PPE_25` is highly correlated with `PPE_05`	High correlation
`PPE_35F` is highly correlated with `PPE_30F`	High correlation
`PPE_45B` is highly correlated with `PPE_40B` and 1 other fields	High correlation
`PPE_30E` is highly correlated with `PPE_35E`	High correlation
`PPE_30B` is highly correlated with `PPE_30G` and 2 other fields	High correlation
`IMMDVGST` is highly correlated with `PGDVFLA`	High correlation
`PPE_40B` is highly correlated with `PPE_45B` and 1 other fields	High correlation
`PPE_35H` is highly correlated with `PPE_30H`	High correlation
`PPE_40A` is highly correlated with `PPE_45A` and 1 other fields	High correlation
`PPE_30G` is highly correlated with `PPE_30B` and 2 other fields	High correlation
`PPE_30D` is highly correlated with `PPE_35D`	High correlation
`PPE_15A` is highly correlated with `PPE_10`	High correlation
`PPE_30H` is highly correlated with `PPE_35H`	High correlation
`PPE_45H` is highly correlated with `PPE_40H`	High correlation
`PPE_35C` is highly correlated with `PPE_30C`	High correlation
`PPE_45D` is highly correlated with `PPE_40D`	High correlation
`PPE_30F` is highly correlated with `PPE_35F`	High correlation
`PPE_10` is highly correlated with `PPE_15A` and 2 other fields	High correlation
`PPE_30C` is highly correlated with `PPE_35C`	High correlation
`PPE_40G` is highly correlated with `PPE_45G`	High correlation
`PPE_45A` is highly correlated with `PPE_40A` and 1 other fields	High correlation
`PPE_45F` is highly correlated with `PPE_40F`	High correlation
`PPE_35B` is highly correlated with `PPE_30B` and 2 other fields	High correlation
`PPE_40I` is highly correlated with `PPE_40B` and 2 other fields	High correlation
`PPE_45C` is highly correlated with `PPE_40C`	High correlation
`PPE_20` is highly correlated with `PPE_30B` and 3 other fields	High correlation
`PPE_35D` is highly correlated with `PPE_30D`	High correlation
`PPE_35G` is highly correlated with `PPE_30G` and 2 other fields	High correlation
`PPE_40F` is highly correlated with `PPE_45F`	High correlation
`PGDVFLA` is highly correlated with `IMMDVGST`	High correlation
`PPE_35E` is highly correlated with `PPE_30E`	High correlation
`PPE_30A` is highly correlated with `PPE_35A`	High correlation
`PPE_15B` is highly correlated with `PPE_10`	High correlation
`PPE_40D` is highly correlated with `PPE_45D`	High correlation
`PPE_45G` is highly correlated with `PPE_40G`	High correlation
`PPE_45I` is highly correlated with `PPE_45B` and 2 other fields	High correlation
`PPE_15D` is highly correlated with `PPE_10`	High correlation
`GEODVGPR` is highly correlated with `ENVDVGRW`	High correlation
`EMPDVGYW` is highly correlated with `AGEDVG4`	High correlation
`ENVDVGRW` is highly correlated with `GEODVGPR`	High correlation
`PPE_05` is highly correlated with `PPE_50A` and 1 other fields	High correlation
`PPE_10` is highly correlated with `PPE_15A` and 6 other fields	High correlation
`PPE_15A` is highly correlated with `PPE_10` and 5 other fields	High correlation
`PPE_15B` is highly correlated with `PPE_10` and 4 other fields	High correlation
`PPE_15C` is highly correlated with `PPE_10` and 2 other fields	High correlation
`PPE_15D` is highly correlated with `PPE_10` and 5 other fields	High correlation
`PPE_15E` is highly correlated with `PPE_10` and 6 other fields	High correlation
`PPE_15F` is highly correlated with `PPE_10` and 6 other fields	High correlation
`PPE_15G` is highly correlated with `PPE_15E` and 3 other fields	High correlation
`PPE_15H` is highly correlated with `PPE_10` and 3 other fields	High correlation
`PPE_15J` is highly correlated with `PPE_15G`	High correlation
`PPE_20` is highly correlated with `PPE_25` and 4 other fields	High correlation
`PPE_25` is highly correlated with `PPE_20` and 2 other fields	High correlation
`PPE_30A` is highly correlated with `PPE_30B` and 12 other fields	High correlation
`PPE_30B` is highly correlated with `PPE_20` and 12 other fields	High correlation
`PPE_30C` is highly correlated with `PPE_30A` and 9 other fields	High correlation
`PPE_30D` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_30E` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_30F` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_30G` is highly correlated with `PPE_20` and 11 other fields	High correlation
`PPE_30H` is highly correlated with `PPE_35H`	High correlation
`PPE_35A` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_35B` is highly correlated with `PPE_20` and 12 other fields	High correlation
`PPE_35C` is highly correlated with `PPE_30A` and 9 other fields	High correlation
`PPE_35D` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_35E` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_35F` is highly correlated with `PPE_30A` and 12 other fields	High correlation
`PPE_35G` is highly correlated with `PPE_20` and 11 other fields	High correlation
`PPE_35H` is highly correlated with `PPE_30H`	High correlation
`PPE_40A` is highly correlated with `PPE_40B` and 4 other fields	High correlation
`PPE_40B` is highly correlated with `PPE_40A` and 5 other fields	High correlation
`PPE_40C` is highly correlated with `PPE_45C`	High correlation
`PPE_40D` is highly correlated with `PPE_40A` and 5 other fields	High correlation
`PPE_40E` is highly correlated with `PPE_45E`	High correlation
`PPE_40F` is highly correlated with `PPE_45F`	High correlation
`PPE_40G` is highly correlated with `PPE_45G`	High correlation
`PPE_40H` is highly correlated with `PPE_45H`	High correlation
`PPE_40I` is highly correlated with `PPE_40A` and 5 other fields	High correlation
`PPE_45A` is highly correlated with `PPE_40A` and 3 other fields	High correlation
`PPE_45B` is highly correlated with `PPE_40B` and 5 other fields	High correlation
`PPE_45C` is highly correlated with `PPE_40C`	High correlation
`PPE_45D` is highly correlated with `PPE_40B` and 3 other fields	High correlation
`PPE_45E` is highly correlated with `PPE_40E`	High correlation
`PPE_45F` is highly correlated with `PPE_40F`	High correlation
`PPE_45G` is highly correlated with `PPE_40G`	High correlation
`PPE_45H` is highly correlated with `PPE_40H`	High correlation
`PPE_45I` is highly correlated with `PPE_40A` and 6 other fields	High correlation
`PPE_50A` is highly correlated with `PPE_05` and 5 other fields	High correlation
`PPE_50B` is highly correlated with `PPE_05` and 5 other fields	High correlation
`PPE_50C` is highly correlated with `PPE_50A` and 4 other fields	High correlation
`PPE_50D` is highly correlated with `PPE_50A` and 4 other fields	High correlation
`PPE_50E` is highly correlated with `PPE_50C` and 2 other fields	High correlation
`PPE_50F` is highly correlated with `PPE_50A` and 4 other fields	High correlation
`AGEDVG4` is highly correlated with `EMPDVGYW`	High correlation
`PGDVFLA` is highly correlated with `IMMDVGST`	High correlation
`IMMDVGST` is highly correlated with `PGDVFLA`	High correlation
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique

Reproduction

Analysis started	2022-02-27 23:19:32.140757
Analysis finished	2022-02-27 23:20:49.176185
Duration	1 minute and 17.04 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	17319
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9086.229921

Minimum	0
Maximum	18138
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	0
5-th percentile	904.9
Q1	4539
median	9094
Q3	13643.5
95-th percentile	17233.1
Maximum	18138
Range	18138
Interquartile range (IQR)	9104.5

Descriptive statistics

Standard deviation	5243.437934
Coefficient of variation (CV)	0.5770751984
Kurtosis	-1.204029868
Mean	9086.229921
Median Absolute Deviation (MAD)	4552
Skewness	-0.004443962267
Sum	157364416
Variance	27493641.37
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
12135	1	< 0.1%
12120	1	< 0.1%
12121	1	< 0.1%
12122	1	< 0.1%
12123	1	< 0.1%
12124	1	< 0.1%
12125	1	< 0.1%
12126	1	< 0.1%
12127	1	< 0.1%
Other values (17309)	17309	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
18138	1	< 0.1%
18137	1	< 0.1%
18136	1	< 0.1%
18135	1	< 0.1%
18134	1	< 0.1%
18133	1	< 0.1%
18132	1	< 0.1%
18131	1	< 0.1%
18130	1	< 0.1%
18129	1	< 0.1%

GEODVGPR
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.50308909

Minimum	10
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	30
median	30
Q3	45
95-th percentile	50
Maximum	60
Range	50
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.93034272
Coefficient of variation (CV)	0.3978188868
Kurtosis	-0.8302022962
Mean	32.50308909
Median Absolute Deviation (MAD)	10
Skewness	-0.2051789052
Sum	562921
Variance	167.1937628
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
30	7898	45.6%
48	2502	14.4%
10	2485	14.3%
45	1629	9.4%
50	1601	9.2%
20	1114	6.4%
60	90	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	2485	14.3%
20	1114	6.4%
30	7898	45.6%
45	1629	9.4%
48	2502	14.4%
50	1601	9.2%
60	90	0.5%

Value	Count	Frequency (%)
60	90	0.5%
50	1601	9.2%
48	2502	14.4%
45	1629	9.4%
30	7898	45.6%
20	1114	6.4%
10	2485	14.3%

EMP_10
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14136
1	3183

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	14136	81.6%
1	3183	18.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14136	81.6%
1	3183	18.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EMP_35
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	12883
2	4436

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	12883	74.4%
2	4436	25.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	12883	74.4%
2	4436	25.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EMP_45
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	12636
2	3209
3	1474

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	12636	73.0%
2	3209	18.5%
3	1474	8.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	12636	73.0%
2	3209	18.5%
3	1474	8.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EMPDVGOC
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.363300422

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	5
Q3	5
95-th percentile	8
Maximum	99
Range	98
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.748627294
Coefficient of variation (CV)	0.859126563
Kurtosis	466.4285693
Mean	4.363300422
Median Absolute Deviation (MAD)	1
Skewness	18.57489148
Sum	75568
Variance	14.05220659
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
5	7491	43.3%
2	5199	30.0%
6	1498	8.6%
8	1434	8.3%
3	602	3.5%
1	545	3.1%
7	268	1.5%
4	262	1.5%
99	20	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	545	3.1%
2	5199	30.0%
3	602	3.5%
4	262	1.5%
5	7491	43.3%
6	1498	8.6%
7	268	1.5%
8	1434	8.3%
99	20	0.1%

Value	Count	Frequency (%)
99	20	0.1%
8	1434	8.3%
7	268	1.5%
6	1498	8.6%
5	7491	43.3%
4	262	1.5%
3	602	3.5%
2	5199	30.0%
1	545	3.1%

EMPDVGYW
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	5661
3	4894
2	4350
9	2414

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9
2nd row	2
3rd row	3
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5661	32.7%
3	4894	28.3%
2	4350	25.1%
9	2414	13.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5661	32.7%
3	4894	28.3%
2	4350	25.1%
9	2414	13.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ENV_30
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	12222
1	5097

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	12222	70.6%
1	5097	29.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	12222	70.6%
1	5097	29.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ENVDVCON
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	9812
1	6448
3	1059

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	9812	56.7%
1	6448	37.2%
3	1059	6.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	9812	56.7%
1	6448	37.2%
3	1059	6.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ENVDVTYP
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.320861482

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	99
Range	98
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	16.49515667
Coefficient of variation (CV)	3.100091353
Kurtosis	28.00790836
Mean	5.320861482
Median Absolute Deviation (MAD)	1
Skewness	5.449185976
Sum	92152
Variance	272.0901936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	7259	41.9%
3	5116	29.5%
6	2016	11.6%
2	1691	9.8%
4	622	3.6%
99	516	3.0%
5	99	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7259	41.9%
2	1691	9.8%
3	5116	29.5%
4	622	3.6%
5	99	0.6%
6	2016	11.6%
99	516	3.0%

Value	Count	Frequency (%)
99	516	3.0%
6	2016	11.6%
5	99	0.6%
4	622	3.6%
3	5116	29.5%
2	1691	9.8%
1	7259	41.9%

ENVDVGRW
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.97632658

Minimum	10
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	30
median	30
Q3	45
95-th percentile	50
Maximum	99
Range	89
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	13.95073719
Coefficient of variation (CV)	0.4230531001
Kurtosis	1.894329782
Mean	32.97632658
Median Absolute Deviation (MAD)	10
Skewness	0.4450435596
Sum	571117
Variance	194.6230681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
30	7879	45.5%
48	2490	14.4%
10	2473	14.3%
45	1622	9.4%
50	1596	9.2%
20	1056	6.1%
99	113	0.7%
60	90	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	2473	14.3%
20	1056	6.1%
30	7879	45.5%
45	1622	9.4%
48	2490	14.4%
50	1596	9.2%
60	90	0.5%
99	113	0.7%

Value	Count	Frequency (%)
99	113	0.7%
60	90	0.5%
50	1596	9.2%
48	2490	14.4%
45	1622	9.4%
30	7879	45.5%
20	1056	6.1%
10	2473	14.3%

PPE_05
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	14572
2	2502
3	245

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14572	84.1%
2	2502	14.4%
3	245	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	14572	84.1%
2	2502	14.4%
3	245	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_10
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	16534
2	785

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	16534	95.5%
2	785	4.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	16534	95.5%
2	785	4.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	15527
2	1792

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	15527	89.7%
2	1792	10.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	15527	89.7%
2	1792	10.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	15123
2	2196

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15123	87.3%
2	2196	12.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	15123	87.3%
2	2196	12.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15C
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	13247
2	4072

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13247	76.5%
2	4072	23.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	13247	76.5%
2	4072	23.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	15136
2	2183

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15136	87.4%
2	2183	12.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	15136	87.4%
2	2183	12.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15E
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	13074
2	4245

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	13074	75.5%
2	4245	24.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	13074	75.5%
2	4245	24.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15F
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	13836
2	3483

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13836	79.9%
2	3483	20.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	13836	79.9%
2	3483	20.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15G
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	10252
2	7067

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	10252	59.2%
2	7067	40.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	10252	59.2%
2	7067	40.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15H
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	12874
2	4445

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	12874	74.3%
2	4445	25.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	12874	74.3%
2	4445	25.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15I
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14392
1	2927

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	14392	83.1%
1	2927	16.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14392	83.1%
1	2927	16.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_15J
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	9437
2	7882

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	9437	54.5%
2	7882	45.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	9437	54.5%
2	7882	45.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_20
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	16810
2	509

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	16810	97.1%
2	509	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	16810	97.1%
2	509	2.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_25
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	13718
2	3601

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	13718	79.2%
2	3601	20.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	13718	79.2%
2	3601	20.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	13394
1	2177
3	1418
4	293
5	37

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	13394	77.3%
1	2177	12.6%
3	1418	8.2%
4	293	1.7%
5	37	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	13394	77.3%
1	2177	12.6%
3	1418	8.2%
4	293	1.7%
5	37	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14131
3	2119
1	584
4	440
5	45

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	14131	81.6%
3	2119	12.2%
1	584	3.4%
4	440	2.5%
5	45	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14131	81.6%
3	2119	12.2%
1	584	3.4%
4	440	2.5%
5	45	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	7234
2	5014
3	2748
4	1527
5	796

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	5
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7234	41.8%
2	5014	29.0%
3	2748	15.9%
4	1527	8.8%
5	796	4.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	7234	41.8%
2	5014	29.0%
3	2748	15.9%
4	1527	8.8%
5	796	4.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	9984
1	4024
3	2477
4	679
5	155

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	9984	57.6%
1	4024	23.2%
3	2477	14.3%
4	679	3.9%
5	155	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	9984	57.6%
1	4024	23.2%
3	2477	14.3%
4	679	3.9%
5	155	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	9790
1	3021
3	2872
4	1219
5	417

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3
4th row	3
5th row	5

Common Values

Value	Count	Frequency (%)
2	9790	56.5%
1	3021	17.4%
3	2872	16.6%
4	1219	7.0%
5	417	2.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	9790	56.5%
1	3021	17.4%
3	2872	16.6%
4	1219	7.0%
5	417	2.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	9540
1	3537
3	2324
4	1295
5	623

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	3
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
2	9540	55.1%
1	3537	20.4%
3	2324	13.4%
4	1295	7.5%
5	623	3.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	9540	55.1%
1	3537	20.4%
3	2324	13.4%
4	1295	7.5%
5	623	3.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	13783
3	2420
1	587
4	493
5	36

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	13783	79.6%
3	2420	14.0%
1	587	3.4%
4	493	2.8%
5	36	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	13783	79.6%
3	2420	14.0%
1	587	3.4%
4	493	2.8%
5	36	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_30H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	13166
2	2759
3	892
4	349
5	153

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13166	76.0%
2	2759	15.9%
3	892	5.2%
4	349	2.0%
5	153	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	13166	76.0%
2	2759	15.9%
3	892	5.2%
4	349	2.0%
5	153	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	13787
1	2231
3	1033
4	224
5	44

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	13787	79.6%
1	2231	12.9%
3	1033	6.0%
4	224	1.3%
5	44	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	13787	79.6%
1	2231	12.9%
3	1033	6.0%
4	224	1.3%
5	44	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15001
3	1235
1	787
4	249
5	47

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	15001	86.6%
3	1235	7.1%
1	787	4.5%
4	249	1.4%
5	47	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15001	86.6%
3	1235	7.1%
1	787	4.5%
4	249	1.4%
5	47	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	7273
2	6063
3	2185
4	1071
5	727

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	5
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7273	42.0%
2	6063	35.0%
3	2185	12.6%
4	1071	6.2%
5	727	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	7273	42.0%
2	6063	35.0%
3	2185	12.6%
4	1071	6.2%
5	727	4.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	10769
1	4253
3	1709
4	447
5	141

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	10769	62.2%
1	4253	24.6%
3	1709	9.9%
4	447	2.6%
5	141	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	10769	62.2%
1	4253	24.6%
3	1709	9.9%
4	447	2.6%
5	141	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	10757
1	3297
3	2090
4	804
5	371

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	10757	62.1%
1	3297	19.0%
3	2090	12.1%
4	804	4.6%
5	371	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	10757	62.1%
1	3297	19.0%
3	2090	12.1%
4	804	4.6%
5	371	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	10237
1	3792
3	1861
4	892
5	537

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	3
4th row	5
5th row	1

Common Values

Value	Count	Frequency (%)
2	10237	59.1%
1	3792	21.9%
3	1861	10.7%
4	892	5.2%
5	537	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	10237	59.1%
1	3792	21.9%
3	1861	10.7%
4	892	5.2%
5	537	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14354
3	1729
1	865
4	339
5	32

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	14354	82.9%
3	1729	10.0%
1	865	5.0%
4	339	2.0%
5	32	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14354	82.9%
3	1729	10.0%
1	865	5.0%
4	339	2.0%
5	32	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_35H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	12555
2	3476
3	832
4	284
5	172

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	12555	72.5%
2	3476	20.1%
3	832	4.8%
4	284	1.6%
5	172	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	12555	72.5%
2	3476	20.1%
3	832	4.8%
4	284	1.6%
5	172	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	9617
1	7702

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	9617	55.5%
1	7702	44.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	9617	55.5%
1	7702	44.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	10148
1	7171

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	10148	58.6%
1	7171	41.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	10148	58.6%
1	7171	41.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14165
1	3154

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	14165	81.8%
1	3154	18.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14165	81.8%
1	3154	18.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	12502
1	4817

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	12502	72.2%
1	4817	27.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	12502	72.2%
1	4817	27.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	16990
1	329

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	16990	98.1%
1	329	1.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	16990	98.1%
1	329	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14910
1	2409

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	14910	86.1%
1	2409	13.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14910	86.1%
1	2409	13.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15823
1	1496

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15823	91.4%
1	1496	8.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15823	91.4%
1	1496	8.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15405
1	1914

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15405	88.9%
1	1914	11.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15405	88.9%
1	1914	11.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_40I
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	12555
1	4764

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	12555	72.5%
1	4764	27.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	12555	72.5%
1	4764	27.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	12438
1	4881

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	12438	71.8%
1	4881	28.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	12438	71.8%
1	4881	28.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	12165
1	5154

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	12165	70.2%
1	5154	29.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	12165	70.2%
1	5154	29.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15059
1	2260

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	15059	87.0%
1	2260	13.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15059	87.0%
1	2260	13.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	14274
1	3045

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	14274	82.4%
1	3045	17.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	14274	82.4%
1	3045	17.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	17135
1	184

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	17135	98.9%
1	184	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	17135	98.9%
1	184	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15974
1	1345

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15974	92.2%
1	1345	7.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15974	92.2%
1	1345	7.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	16541
1	778

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	16541	95.5%
1	778	4.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	16541	95.5%
1	778	4.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	16353
1	966

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	16353	94.4%
1	966	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	16353	94.4%
1	966	5.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_45I
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	10131
1	7188

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	10131	58.5%
1	7188	41.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	10131	58.5%
1	7188	41.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PPE_50A
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.152664704

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.175802992
Coefficient of variation (CV)	0.5462081438
Kurtosis	1.217600347
Mean	2.152664704
Median Absolute Deviation (MAD)	1
Skewness	1.24117596
Sum	37282
Variance	1.382512676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	7423	42.9%
1	5517	31.9%
3	1815	10.5%
4	1680	9.7%
5	550	3.2%
6	334	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5517	31.9%
2	7423	42.9%
3	1815	10.5%
4	1680	9.7%
5	550	3.2%
6	334	1.9%

Value	Count	Frequency (%)
6	334	1.9%
5	550	3.2%
4	1680	9.7%
3	1815	10.5%
2	7423	42.9%
1	5517	31.9%

PPE_50B
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.285871009

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.179365372
Coefficient of variation (CV)	0.5159369745
Kurtosis	0.4270568443
Mean	2.285871009
Median Absolute Deviation (MAD)	1
Skewness	0.9646414666
Sum	39589
Variance	1.390902681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	7229	41.7%
1	4672	27.0%
3	2363	13.6%
4	2154	12.4%
5	652	3.8%
6	249	1.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4672	27.0%
2	7229	41.7%
3	2363	13.6%
4	2154	12.4%
5	652	3.8%
6	249	1.4%

Value	Count	Frequency (%)
6	249	1.4%
5	652	3.8%
4	2154	12.4%
3	2363	13.6%
2	7229	41.7%
1	4672	27.0%

PPE_50C
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.739707835

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.27879927
Coefficient of variation (CV)	0.466764833
Kurtosis	-0.5764150481
Mean	2.739707835
Median Absolute Deviation (MAD)	1
Skewness	0.4827192733
Sum	47449
Variance	1.635327574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	6296	36.4%
4	3987	23.0%
1	2797	16.1%
3	2747	15.9%
5	1081	6.2%
6	411	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2797	16.1%
2	6296	36.4%
3	2747	15.9%
4	3987	23.0%
5	1081	6.2%
6	411	2.4%

Value	Count	Frequency (%)
6	411	2.4%
5	1081	6.2%
4	3987	23.0%
3	2747	15.9%
2	6296	36.4%
1	2797	16.1%

PPE_50D
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.423465558

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.180751413
Coefficient of variation (CV)	0.4872160899
Kurtosis	0.2046319558
Mean	2.423465558
Median Absolute Deviation (MAD)	1
Skewness	0.8293245056
Sum	41972
Variance	1.3941739
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	7189	41.5%
1	3736	21.6%
3	2983	17.2%
4	2427	14.0%
5	703	4.1%
6	281	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3736	21.6%
2	7189	41.5%
3	2983	17.2%
4	2427	14.0%
5	703	4.1%
6	281	1.6%

Value	Count	Frequency (%)
6	281	1.6%
5	703	4.1%
4	2427	14.0%
3	2983	17.2%
2	7189	41.5%
1	3736	21.6%

PPE_50E
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.582597148

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.559157866
Coefficient of variation (CV)	0.4352032344
Kurtosis	-1.102704441
Mean	3.582597148
Median Absolute Deviation (MAD)	1
Skewness	-0.004541261934
Sum	62047
Variance	2.430973252
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	4061	23.4%
2	3677	21.2%
5	2769	16.0%
3	2646	15.3%
6	2500	14.4%
1	1666	9.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1666	9.6%
2	3677	21.2%
3	2646	15.3%
4	4061	23.4%
5	2769	16.0%
6	2500	14.4%

Value	Count	Frequency (%)
6	2500	14.4%
5	2769	16.0%
4	4061	23.4%
3	2646	15.3%
2	3677	21.2%
1	1666	9.6%

PPE_50F
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.713782551

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.474662238
Coefficient of variation (CV)	0.5433973468
Kurtosis	-0.8347918083
Mean	2.713782551
Median Absolute Deviation (MAD)	1
Skewness	0.5468446757
Sum	47000
Variance	2.174628716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	5335	30.8%
1	4225	24.4%
4	2753	15.9%
3	2292	13.2%
5	2067	11.9%
6	647	3.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4225	24.4%
2	5335	30.8%
3	2292	13.2%
4	2753	15.9%
5	2067	11.9%
6	647	3.7%

Value	Count	Frequency (%)
6	647	3.7%
5	2067	11.9%
4	2753	15.9%
3	2292	13.2%
2	5335	30.8%
1	4225	24.4%

GEN_05
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	6917
3	4599
1	4129
4	1426
5	248

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	2
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
2	6917	39.9%
3	4599	26.6%
1	4129	23.8%
4	1426	8.2%
5	248	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	6917	39.9%
3	4599	26.6%
1	4129	23.8%
4	1426	8.2%
5	248	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GEN_20
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

4	7304
3	6604
5	2131
2	1138
1	142

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	4
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
4	7304	42.2%
3	6604	38.1%
5	2131	12.3%
2	1138	6.6%
1	142	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	7304	42.2%
3	6604	38.1%
5	2131	12.3%
2	1138	6.6%
1	142	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

AGEDVG4
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	5047
2	4798
3	4271
4	3203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	4
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
1	5047	29.1%
2	4798	27.7%
3	4271	24.7%
4	3203	18.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5047	29.1%
2	4798	27.7%
3	4271	24.7%
4	3203	18.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GDRDVGRP
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15316
1	2003

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15316	88.4%
1	2003	11.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15316	88.4%
1	2003	11.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ISDVFLAG
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	17065
1	254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	17065	98.5%
1	254	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	17065	98.5%
1	254	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PGDVFLA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

2	15603
1	1716

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	15603	90.1%
1	1716	9.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	15603	90.1%
1	1716	9.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

IMMDVGST
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	15476
2	1843

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	15476	89.4%
2	1843	10.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	15476	89.4%
2	1843	10.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Worse_MH
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.2 KiB

1	11929
0	5390

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	11929	68.9%
0	5390	31.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	11929	68.9%
0	5390	31.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	GEODVGPR	EMP_10	EMP_35	EMP_45	EMPDVGOC	EMPDVGYW	ENV_30	ENVDVCON	ENVDVTYP	ENVDVGRW	PPE_05	PPE_10	PPE_15A	PPE_15B	PPE_15C	PPE_15D	PPE_15E	PPE_15F	PPE_15G	PPE_15H	PPE_15I	PPE_15J	PPE_20	PPE_25	PPE_30A	PPE_30B	PPE_30C	PPE_30D	PPE_30E	PPE_30F	PPE_30G	PPE_30H	PPE_35A	PPE_35B	PPE_35C	PPE_35D	PPE_35E	PPE_35F	PPE_35G	PPE_35H	PPE_40A	PPE_40B	PPE_40C	PPE_40D	PPE_40E	PPE_40F	PPE_40G	PPE_40H	PPE_40I	PPE_45A	PPE_45B	PPE_45C	PPE_45D	PPE_45E	PPE_45F	PPE_45G	PPE_45H	PPE_45I	PPE_50A	PPE_50B	PPE_50C	PPE_50D	PPE_50E	PPE_50F	GEN_05	GEN_20	AGEDVG4	GDRDVGRP	ISDVFLAG	PGDVFLA	IMMDVGST	Worse_MH
0	0	45	2	1	1	2	9	2	1	1	45	1	1	1	1	2	2	2	2	2	1	2	2	1	1	2	2	2	2	2	3	2	1	2	2	2	2	2	3	2	1	1	1	1	2	2	1	2	2	2	1	1	1	2	2	1	2	2	2	2	2	4	4	1	4	2	4	3	2	2	2	1	0
1	1	30	1	1	1	5	2	2	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	2	2	1	1	1	1	2	2	2	2	2	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	3	3	3	2	2	2	2	1	1
2	2	50	2	1	1	2	3	2	2	2	50	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	2	5	2	3	3	2	1	2	2	5	2	3	3	2	1	2	1	2	1	2	1	2	2	2	2	1	2	1	2	1	2	2	2	2	2	4	4	6	3	2	4	4	2	2	2	1	1
3	3	20	2	2	3	5	1	2	2	3	20	1	1	2	1	1	1	2	1	2	2	2	1	1	2	2	2	1	1	3	5	2	1	2	2	1	1	2	5	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	4	4	2	2	5	2	3	3	1	2	2	2	1	0
4	4	30	1	1	1	5	1	2	2	6	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	5	5	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	3	3	2	2	6	2	1	2	3	2	2	2	1	1
5	5	10	2	1	1	5	2	2	2	4	10	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	2	1	3	3	2	2	2	2	1	1
6	6	30	2	1	1	2	1	2	1	2	30	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	2	1	1	1	1	3	2	2	2	1	2	1
7	7	10	2	1	1	6	1	2	2	1	10	1	1	1	1	2	1	1	1	1	2	2	1	1	1	2	2	1	2	3	2	2	1	2	2	2	2	3	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	4	1	3	1	2	2	2	1	1
8	8	30	2	1	1	2	2	1	1	1	30	1	1	1	1	2	1	1	2	1	1	1	2	1	1	2	2	2	2	2	2	2	3	1	2	2	2	2	2	2	3	2	1	2	1	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	3	2	4	4	3	5	2	2	2	2	1	0
9	9	48	2	2	2	2	1	2	1	1	48	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	3	3	2	2	1	1	3	1	2	2	1	2	1

Last rows

	df_index	GEODVGPR	EMP_10	EMP_35	EMP_45	EMPDVGOC	EMPDVGYW	ENV_30	ENVDVCON	ENVDVTYP	ENVDVGRW	PPE_05	PPE_10	PPE_15A	PPE_15B	PPE_15C	PPE_15D	PPE_15E	PPE_15F	PPE_15G	PPE_15H	PPE_15I	PPE_15J	PPE_20	PPE_25	PPE_30A	PPE_30B	PPE_30C	PPE_30D	PPE_30E	PPE_30F	PPE_30G	PPE_30H	PPE_35A	PPE_35B	PPE_35C	PPE_35D	PPE_35E	PPE_35F	PPE_35G	PPE_35H	PPE_40A	PPE_40B	PPE_40C	PPE_40D	PPE_40E	PPE_40F	PPE_40G	PPE_40H	PPE_40I	PPE_45A	PPE_45B	PPE_45C	PPE_45D	PPE_45E	PPE_45F	PPE_45G	PPE_45H	PPE_45I	PPE_50A	PPE_50B	PPE_50C	PPE_50D	PPE_50E	PPE_50F	GEN_05	GEN_20	AGEDVG4	GDRDVGRP	ISDVFLAG	PGDVFLA	IMMDVGST	Worse_MH
17309	18129	45	2	2	2	2	1	1	1	1	45	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	3	4	3	5	2	3	1	2	2	4	4	5	2	3	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	4	5	5	4	5	2	3	1	2	2	2	1	1
17310	18130	30	1	1	1	5	1	2	2	3	30	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	2	2	2	2	1	1	1	1	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	3	1	2	1	2	1	2	2	2	1	1
17311	18131	48	2	1	1	2	1	1	1	1	48	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	4	2	3	2	2	1	2	2	2	2	2	2	2	2	1	2	2	1	2	2	2	1	2	2	2	2	2	2	2	2	2	1	2	2	4	3	4	3	3	4	1	2	1	2	1	0
17312	18132	50	2	1	2	5	9	2	2	3	50	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	1	1	1	2	1	2	2	2	1	1	1	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	3	1	2	5	2	2	2	2	1	0
17313	18133	45	2	1	1	2	9	2	3	1	45	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	2	2	1	1	2	1	1	2	2	2	1	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	4	2	2	1	3	4	3	2	2	2	1	1
17314	18134	45	2	1	1	8	2	1	2	3	45	1	1	1	1	1	1	1	1	2	1	2	2	1	1	2	2	2	3	2	2	2	1	2	2	2	3	2	2	2	1	1	1	1	1	2	2	2	2	2	1	1	2	1	2	2	2	2	2	2	2	2	3	6	3	2	4	2	2	2	2	1	1
17315	18135	30	1	2	2	5	1	2	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	2	2	2	1	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	2	1	1	1	2	1	2	2	2	2	2	1	1
17316	18136	48	2	1	2	2	2	2	2	1	48	1	1	1	1	2	1	2	2	1	1	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	3	2	1	2	2	1	1
17317	18137	50	2	2	1	8	3	1	2	3	50	1	1	1	1	1	1	1	1	2	1	2	2	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	6	1	2	3	4	2	2	2	1	1
17318	18138	30	2	2	1	8	3	1	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	4	2	2	2	2	1	2	2	2	2	2	2	2	1	2	1	2	1	2	2	2	2	2	2	1	2	1	2	2	2	2	2	1	1	1	1	6	1	1	2	3	2	2	2	1	1

	df_index	GEODVGPR	EMP_10	EMP_35	EMP_45	EMPDVGOC	EMPDVGYW	ENV_30	ENVDVCON	ENVDVTYP	ENVDVGRW	PPE_05	PPE_10	PPE_15A	PPE_15B	PPE_15C	PPE_15D	PPE_15E	PPE_15F	PPE_15G	PPE_15H	PPE_15I	PPE_15J	PPE_20	PPE_25	PPE_30A	PPE_30B	PPE_30C	PPE_30D	PPE_30E	PPE_30F	PPE_30G	PPE_30H	PPE_35A	PPE_35B	PPE_35C	PPE_35D	PPE_35E	PPE_35F	PPE_35G	PPE_35H	PPE_40A	PPE_40B	PPE_40C	PPE_40D	PPE_40E	PPE_40F	PPE_40G	PPE_40H	PPE_40I	PPE_45A	PPE_45B	PPE_45C	PPE_45D	PPE_45E	PPE_45F	PPE_45G	PPE_45H	PPE_45I	PPE_50A	PPE_50B	PPE_50C	PPE_50D	PPE_50E	PPE_50F	GEN_05	GEN_20	AGEDVG4	GDRDVGRP	ISDVFLAG	PGDVFLA	IMMDVGST	Worse_MH
0	0	45	2	1	1	2	9	2	1	1	45	1	1	1	1	2	2	2	2	2	1	2	2	1	1	2	2	2	2	2	3	2	1	2	2	2	2	2	3	2	1	1	1	1	2	2	1	2	2	2	1	1	1	2	2	1	2	2	2	2	2	4	4	1	4	2	4	3	2	2	2	1	0
1	1	30	1	1	1	5	2	2	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	2	2	1	1	1	1	2	2	2	2	2	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	3	3	3	2	2	2	2	1	1
2	2	50	2	1	1	2	3	2	2	2	50	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	2	5	2	3	3	2	1	2	2	5	2	3	3	2	1	2	1	2	1	2	1	2	2	2	2	1	2	1	2	1	2	2	2	2	2	4	4	6	3	2	4	4	2	2	2	1	1
3	3	20	2	2	3	5	1	2	2	3	20	1	1	2	1	1	1	2	1	2	2	2	1	1	2	2	2	1	1	3	5	2	1	2	2	1	1	2	5	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	4	4	2	2	5	2	3	3	1	2	2	2	1	0
4	4	30	1	1	1	5	1	2	2	6	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	5	5	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	3	3	2	2	6	2	1	2	3	2	2	2	1	1
5	5	10	2	1	1	5	2	2	2	4	10	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	2	1	3	3	2	2	2	2	1	1
6	6	30	2	1	1	2	1	2	1	2	30	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	2	1	1	1	1	3	2	2	2	1	2	1
7	7	10	2	1	1	6	1	2	2	1	10	1	1	1	1	2	1	1	1	1	2	2	1	1	1	2	2	1	2	3	2	2	1	2	2	2	2	3	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	4	1	3	1	2	2	2	1	1
8	8	30	2	1	1	2	2	1	1	1	30	1	1	1	1	2	1	1	2	1	1	1	2	1	1	2	2	2	2	2	2	2	3	1	2	2	2	2	2	2	3	2	1	2	1	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	3	2	4	4	3	5	2	2	2	2	1	0
9	9	48	2	2	2	2	1	2	1	1	48	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	3	3	2	2	1	1	3	1	2	2	1	2	1

	df_index	GEODVGPR	EMP_10	EMP_35	EMP_45	EMPDVGOC	EMPDVGYW	ENV_30	ENVDVCON	ENVDVTYP	ENVDVGRW	PPE_05	PPE_10	PPE_15A	PPE_15B	PPE_15C	PPE_15D	PPE_15E	PPE_15F	PPE_15G	PPE_15H	PPE_15I	PPE_15J	PPE_20	PPE_25	PPE_30A	PPE_30B	PPE_30C	PPE_30D	PPE_30E	PPE_30F	PPE_30G	PPE_30H	PPE_35A	PPE_35B	PPE_35C	PPE_35D	PPE_35E	PPE_35F	PPE_35G	PPE_35H	PPE_40A	PPE_40B	PPE_40C	PPE_40D	PPE_40E	PPE_40F	PPE_40G	PPE_40H	PPE_40I	PPE_45A	PPE_45B	PPE_45C	PPE_45D	PPE_45E	PPE_45F	PPE_45G	PPE_45H	PPE_45I	PPE_50A	PPE_50B	PPE_50C	PPE_50D	PPE_50E	PPE_50F	GEN_05	GEN_20	AGEDVG4	GDRDVGRP	ISDVFLAG	PGDVFLA	IMMDVGST	Worse_MH
0	0	45	2	1	1	2	9	2	1	1	45	1	1	1	1	2	2	2	2	2	1	2	2	1	1	2	2	2	2	2	3	2	1	2	2	2	2	2	3	2	1	1	1	1	2	2	1	2	2	2	1	1	1	2	2	1	2	2	2	2	2	4	4	1	4	2	4	3	2	2	2	1	0
1	1	30	1	1	1	5	2	2	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	2	2	1	1	1	1	2	2	2	2	2	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	3	3	3	2	2	2	2	1	1
2	2	50	2	1	1	2	3	2	2	2	50	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	2	5	2	3	3	2	1	2	2	5	2	3	3	2	1	2	1	2	1	2	1	2	2	2	2	1	2	1	2	1	2	2	2	2	2	4	4	6	3	2	4	4	2	2	2	1	1
3	3	20	2	2	3	5	1	2	2	3	20	1	1	2	1	1	1	2	1	2	2	2	1	1	2	2	2	1	1	3	5	2	1	2	2	1	1	2	5	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	4	4	2	2	5	2	3	3	1	2	2	2	1	0
4	4	30	1	1	1	5	1	2	2	6	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	5	5	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	3	3	2	2	6	2	1	2	3	2	2	2	1	1
5	5	10	2	1	1	5	2	2	2	4	10	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	2	1	3	3	2	2	2	2	1	1
6	6	30	2	1	1	2	1	2	1	2	30	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	2	1	1	1	1	3	2	2	2	1	2	1
7	7	10	2	1	1	6	1	2	2	1	10	1	1	1	1	2	1	1	1	1	2	2	1	1	1	2	2	1	2	3	2	2	1	2	2	2	2	3	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	4	1	3	1	2	2	2	1	1
8	8	30	2	1	1	2	2	1	1	1	30	1	1	1	1	2	1	1	2	1	1	1	2	1	1	2	2	2	2	2	2	2	3	1	2	2	2	2	2	2	3	2	1	2	1	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	3	2	4	4	3	5	2	2	2	2	1	0
9	9	48	2	2	2	2	1	2	1	1	48	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	3	3	2	2	1	1	3	1	2	2	1	2	1

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

	df_index	GEODVGPR	EMP_10	EMP_35	EMP_45	EMPDVGOC	EMPDVGYW	ENV_30	ENVDVCON	ENVDVTYP	ENVDVGRW	PPE_05	PPE_10	PPE_15A	PPE_15B	PPE_15C	PPE_15D	PPE_15E	PPE_15F	PPE_15G	PPE_15H	PPE_15I	PPE_15J	PPE_20	PPE_25	PPE_30A	PPE_30B	PPE_30C	PPE_30D	PPE_30E	PPE_30F	PPE_30G	PPE_30H	PPE_35A	PPE_35B	PPE_35C	PPE_35D	PPE_35E	PPE_35F	PPE_35G	PPE_35H	PPE_40A	PPE_40B	PPE_40C	PPE_40D	PPE_40E	PPE_40F	PPE_40G	PPE_40H	PPE_40I	PPE_45A	PPE_45B	PPE_45C	PPE_45D	PPE_45E	PPE_45F	PPE_45G	PPE_45H	PPE_45I	PPE_50A	PPE_50B	PPE_50C	PPE_50D	PPE_50E	PPE_50F	GEN_05	GEN_20	AGEDVG4	GDRDVGRP	ISDVFLAG	PGDVFLA	IMMDVGST	Worse_MH
0	0	45	2	1	1	2	9	2	1	1	45	1	1	1	1	2	2	2	2	2	1	2	2	1	1	2	2	2	2	2	3	2	1	2	2	2	2	2	3	2	1	1	1	1	2	2	1	2	2	2	1	1	1	2	2	1	2	2	2	2	2	4	4	1	4	2	4	3	2	2	2	1	0
1	1	30	1	1	1	5	2	2	2	3	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	2	2	1	1	1	1	2	2	2	2	2	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	3	3	3	2	2	2	2	1	1
2	2	50	2	1	1	2	3	2	2	2	50	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	2	5	2	3	3	2	1	2	2	5	2	3	3	2	1	2	1	2	1	2	1	2	2	2	2	1	2	1	2	1	2	2	2	2	2	4	4	6	3	2	4	4	2	2	2	1	1
3	3	20	2	2	3	5	1	2	2	3	20	1	1	2	1	1	1	2	1	2	2	2	1	1	2	2	2	1	1	3	5	2	1	2	2	1	1	2	5	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	4	4	2	2	5	2	3	3	1	2	2	2	1	0
4	4	30	1	1	1	5	1	2	2	6	30	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	5	5	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	3	3	2	2	6	2	1	2	3	2	2	2	1	1
5	5	10	2	1	1	5	2	2	2	4	10	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	1	1	2	1	3	3	2	2	2	2	1	1
6	6	30	2	1	1	2	1	2	1	2	30	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	1	1	2	1	1	1	1	3	2	2	2	1	2	1
7	7	10	2	1	1	6	1	2	2	1	10	1	1	1	1	2	1	1	1	1	2	2	1	1	1	2	2	1	2	3	2	2	1	2	2	2	2	3	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	1	2	2	2	2	2	4	1	3	1	2	2	2	1	1
8	8	30	2	1	1	2	2	1	1	1	30	1	1	1	1	2	1	1	2	1	1	1	2	1	1	2	2	2	2	2	2	2	3	1	2	2	2	2	2	2	3	2	1	2	1	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	3	2	4	4	3	5	2	2	2	2	1	0
9	9	48	2	2	2	2	1	2	1	1	48	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	1	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	3	3	2	2	1	1	3	1	2	2	1	2	1